Abstract
The purpose of this book is to provide a compositional methodology of modelling and analysis with Markov chains. Markov chains are widely used as simple and yet adequate models in many diverse areas, not only in mathematics and computer science but also in other disciplines such as operations research, industrial engineering, biology, demographics, and so on. Markov chains can be used to estimate performance and dependability characteristics of various nature, for instance to quantify throughputs of manufacturing systems, locate bottlenecks in communication systems, or to estimate reliability in aerospace systems.
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© 2002 Springer-Verlag Berlin Heidelberg
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Hermanns, H. (2002). Introduction. In: Interactive Markov Chains. Lecture Notes in Computer Science, vol 2428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45804-2_1
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DOI: https://doi.org/10.1007/3-540-45804-2_1
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Online ISBN: 978-3-540-45804-3
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